【摘要】：針對(duì)現(xiàn)有基于時(shí)間信道的主動(dòng)網(wǎng)絡(luò)流水印技術(shù)缺少自糾錯(cuò)和難以抵御熵值隱蔽性嗅探的缺陷,提出一種基于平滑分組的分組間隔時(shí)間流水印方法。利用卷積碼擴(kuò)展水印信息,并采用平滑分組的方法將水印信息嵌入數(shù)據(jù)分組流中,通過交替調(diào)制數(shù)據(jù)分組間隔時(shí)間,使水印數(shù)據(jù)流的分組間隔分布特征無限逼近于正常的網(wǎng)絡(luò)流,有效降低了數(shù)據(jù)分組在傳輸過程中遇到的時(shí)延抖動(dòng)、分組丟失、分組合并、分組分片等因素干擾。理論分析和實(shí)驗(yàn)結(jié)果均表明,與現(xiàn)有的數(shù)據(jù)分組流水印技術(shù)相比,該方法具有檢測(cè)準(zhǔn)確度高、頑健性和隱蔽性好的特點(diǎn)。
[Abstract]:In view of the lack of self-error correction and the difficulty to resist entropy covert sniffing, a packet interval time stream watermarking method based on smooth packets is proposed for the existing time channel based active network pipelining techniques, which are short of self-error correction and difficult to resist entropy covert sniffing. The watermark information is extended by convolutional code, and the watermark information is embedded into the data packet stream by means of smooth grouping, and the data packet interval time is modulated alternately. In order to reduce the delay jitter, packet loss, packet merging, packet fragmentation and so on, the packet interval distribution of the watermark data stream is infinitely approximated to the normal network flow, which effectively reduces the delay jitter, packet loss, packet merging, packet fragmentation and other factors encountered in the transmission process of the data packet. Both theoretical analysis and experimental results show that the proposed method has the advantages of high detection accuracy, robustness and concealment compared with the existing data packet stream watermarking technique.
【作者單位】： 江蘇大學(xué)計(jì)算機(jī)科學(xué)與通信工程學(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(No.61672269) 江蘇省科技成果轉(zhuǎn)化基金資助項(xiàng)目(No.BA2015161)~~
【分類號(hào)】：TN918

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